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DNIF HYPERCLOUD vs Splunk Enterprise Security comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 6, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

DNIF HYPERCLOUD
Ranking in Log Management
52nd
Ranking in Security Information and Event Management (SIEM)
55th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
8
Ranking in other categories
User Entity Behavior Analytics (UEBA) (23rd), Security Orchestration Automation and Response (SOAR) (29th)
Splunk Enterprise Security
Ranking in Log Management
2nd
Ranking in Security Information and Event Management (SIEM)
1st
Average Rating
8.4
Reviews Sentiment
7.6
Number of Reviews
315
Ranking in other categories
IT Operations Analytics (1st)
 

Mindshare comparison

As of July 2025, in the Security Information and Event Management (SIEM) category, the mindshare of DNIF HYPERCLOUD is 0.5%, up from 0.3% compared to the previous year. The mindshare of Splunk Enterprise Security is 9.4%, down from 12.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Security Information and Event Management (SIEM)
 

Featured Reviews

Kishore Tiwari - PeerSpot reviewer
Development from open sources is very valuable but a huge infrastructure is required
The solution's command line should be simpler so that routine commands can be used. The search configuration is a bit different than other OEMs or SIEM solutions like ArcSight or QRadar that are easy to search because they operate similarly. The logic is there and the solution supplies a pretty good explanation. Basically, DNIF spelled out is the opposite of FIND. You have to find commands whenever you want to search something. For example, a highway gets you to your destination but there is an alternate way people don't yet know about. Gartner or Forrester haven't yet studied it. We were a bit nervous when we were trying to get familiar with the solution. We wondered if we could realize ROI because the commands and ways of pulling data were different to us. We raised a case with the support team and their professionals provided the needed support. The command line is user friendly once you understand it. If you need immediate use, then you might want to get assistance from someone who is well-versed in methods for using key patterns to find things. Lengthier files for threat hunting or analysis are needed. The correlation happens, but exporting a large number of files to abstract them is not possible. For example, I want to present raw data to management so I should be able to customize a date range in my query and download the files.
ROBERT-CHRISTIAN - PeerSpot reviewer
Has many predefined correlation rules and is brilliant for investigation and log analysis
It is very complicated to write your own correlation rules without the help of Splunk support. What Splunk could do better is to create an API to the standard SIEM tools, such as Microsoft Sentinel. The idea would be to make it less painful. In ELK Stack, Kibana is the query language with which you can search log files. I believe Splunk has also a query language in which they search their log files, but once you have identified the log file that you want to use for further security correlation, you want to very quickly transport that into your SIEM tool, such as Microsoft Sentinel. That is something that Splunk could make a little bit less painful because it is a lot of effort to find that log file and forward it. An API with Microsoft Sentinel or a similar SIEM tool would be a good idea.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The User Behavior Analytics is a built-in threat-hunting feature. It detects and reports on any kind of malware or ransomware that enters the network."
"The response time on queries is super-fast."
"The solution is quite stable and offers good performance. It also works on a virtual machine. We haven't found any issues with it so far. It's been reliable."
"Great for scaling productivity for log monitoring purposes."
"The beauty of the solution is that you can develop infrastructure for a data lake using open sources that are separate from the licenses."
"Has a great search capability."
"The most valuable feature of the solution is the number of EPS it can handle."
"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."
"It scales better in the cloud than on-premise."
"One key advantage of Splunk over competitors like IBM QRadar is its superior device integration capabilities."
"It is the best tool if you have a complex environment or if data ingestion is too huge."
"Splunk Enterprise Security is a standard solution providing good customer service and partnership."
"The solution is the market leader."
"From the class that I took this week, being able to create notable events from whatever you find in the data set is pretty useful."
"It has increased our business resilience. It's a top-of-the-line SIEM security product. It's the best tool for our security analysts which helps them do their job better. That then protects our company from adversary actors."
"The compatibility with the add-ons helps us add more data in the same compatible format and use data models to elaborate and make it faster."
 

Cons

"The EBA could be improved."
"I think DNIF HYPERCLOUD can implement the ability to export more than 100,000. At the moment, we can't go beyond that. So many times, if you're checking for the firewall logs and working on something related to authentication or network-related traffic, while that log count is low, the account goes beyond that. You can't restrict the logs or the amount of data you can export. It's very important for my situation. It would be better if they could increase the capacity of exports. Although there are many more types of searching in DNIF HYPERCLOUD, people still struggle to query out what they want because not everyone is good at SQL or DQL. The easiest way to query out in DNIF is using the GUI-based interface. But in the GUI interface, you can use operator calls. It gets tricky when you want to search for a specific type of event. You don't know where it will be passed and whether it will be consistent. In the initial phase, it's tough for us to use DNIF. You cannot pass every event in a stable DNIF. When we used that particular tool, we used to get those logs, but sometimes many things are not getting passed. So, we used to export the sheet or export the data into Excel and weigh the required details. In the next release, I would like them to improve the export of the columns and make the application more user-friendly. I would also like a threat-hunting feature in the next release."
"There are currently some issues with machine learning plug-ins."
"The solution should be able to connect to endpoints, such as desktops and laptops... If this solution had a smart connector to these logs- Windows, Linux, or any other logs - without affecting the performance of the connector, that would be wonderful."
"The solution's command line should be simpler so that routine commands can be used."
"The vendor is fairly new and it's not as big as some of the international competitors. It's not a mature product. If you ask them to move data, it might take a lot of time."
"I feel that DNIF needs to invest more in marketing, considering that it operates at a very competitive speed."
"Dependency on the DNIF support team was frustrating."
"It needs a better way to export dynamic views without requiring a ton of code and user/pw."
"The product must improve insider threat detection."
"I find the graphical options really limited and you don't have enough control over how to display the data that you want to see."
"While scheduled reports can be embedded, Splunk dashboard can not be embedded directly without enabling cross origin."
"The product is relatively expensive."
"Given the ever-increasing number of threats, I would like Splunk to update its threat signatures more frequently."
"Search head clustering is often temperamental in its current state and should be improved, replaced by something better, or be reverted to search head pooling."
"Make it easier to include roles and user controls, as it is horrible now."
 

Pricing and Cost Advice

"Price-wise, the product is quite economical. I rate the solution's price as three or four on a scale of one to ten, where one is considered to be a very economically priced tool."
"The pricing is based on the log size."
"The solution requires a huge infrastructure and that is costly."
"The pricing is a little bit on the higher side, but looking at what Splunk provides us, it is reasonable."
"It is expensive. That is why many customers have moved to IBM QRadar. The price is definitely a challenge for customers."
"From what I have seen so far, Splunk has multiple cost models. The one that we are using is pretty good when it comes to ingesting data into the environment. It has worked out pretty well."
"The price of Splunk Enterprise Security fluctuates based on the customer, but I believe it's quite costly, especially for our clientele."
"The Splunk licensing is high."
"I have no opinion on pricing."
"The pricing of Splunk Enterprise Security is high."
"The price of Splunk Enterprise Security is reasonable, falling somewhere in the middle range."
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Comparison Review

VS
Feb 26, 2015
HP ArcSight vs. IBM QRadar vs. ​McAfee Nitro vs. Splunk vs. RSA Security vs. LogRhythm
We at Infosecnirvana.com have done several posts on SIEM. After the Dummies Guide on SIEM, we are following it up with a SIEM Product Comparison – 101 deck. So, here it is for your viewing pleasure. Let me know what you think by posting your comments below. The key products compared here are…
 

Top Industries

By visitors reading reviews
Computer Software Company
14%
Financial Services Firm
11%
Real Estate/Law Firm
10%
Media Company
9%
Computer Software Company
15%
Financial Services Firm
14%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What needs improvement with DNIF HYPERCLOUD?
A lot of people don't know about DNIF HYPERCLOUD, but they do know about products like Splunk, QRadar, ArcSight, and some other SIEM solutions. DNIF is not a known name in the market. From an impro...
What is your primary use case for DNIF HYPERCLOUD?
DNIF HYPERCLOUD is a good SIEM solution. One of the tools' features is very high scalability in terms of the events generated per second. The product is aligned with the MITRE ATT&CK framework....
What advice do you have for others considering DNIF HYPERCLOUD?
The tool's ability in the area of its analytic capabilities has enhanced our company's security poster in a good way, especially when compared to some of the other competitors in the market, like S...
What SOC product do you recommend?
For tools I’d recommend: -SIEM- LogRhythm -SOAR- Palo Alto XSOAR Doing commercial w/o both (or at least an XDR) is asking to miss details that are critical, and ending up a statistic. Also, rememb...
What is a better choice, Splunk or Azure Sentinel?
It would really depend on (1) which logs you need to ingest and (2) what are your use cases Splunk is easy for ingestion of anything, but the charge per GB/Day Indexed and it gets expensive as log ...
How does Splunk compare with Azure Monitor?
Splunk handles a high amount of data very well. We use Splunk to capture information and as an aggregator for monitoring information from different sources. Splunk is very good at alerting us if we...
 

Overview

 

Sample Customers

Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
Splunk has more than 7,000 customers spread across over 90 countries. These customers include Telenor, UniCredit, ideeli, McKenney's, Tesco, and SurveyMonkey.
Find out what your peers are saying about DNIF HYPERCLOUD vs. Splunk Enterprise Security and other solutions. Updated: June 2025.
860,168 professionals have used our research since 2012.